Biclustering is a statistical learning technique that simultaneously partitions and clusters rows and columns of a data matrix. Since biclustering is said to be NP-hard, this package uses a greedy heuristic. The algorithm featured in this package is, to the best our knowledge, the first biclustering algorithm to work on sparse data.
|Maintainer||John Reisner <[email protected]>|
|License||What license is it under?|
|Package repository||View on GitHub|
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